Uruguay - Mortality rate, under-5 (per 1,000 live births)

The value for Mortality rate, under-5 (per 1,000 live births) in Uruguay was 6.20 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 63.50 in 1960 and a minimum value of 6.20 in 2020.

Definition: Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.

Source: Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also:

Year Value
1960 63.50
1961 62.20
1962 60.70
1963 59.40
1964 58.30
1965 57.80
1966 57.40
1967 56.90
1968 56.20
1969 55.20
1970 54.00
1971 53.10
1972 53.20
1973 54.00
1974 54.90
1975 55.20
1976 54.40
1977 52.10
1978 48.50
1979 44.10
1980 39.60
1981 35.80
1982 32.90
1983 30.90
1984 29.50
1985 28.50
1986 27.40
1987 26.20
1988 25.00
1989 23.80
1990 22.90
1991 22.20
1992 21.70
1993 21.30
1994 21.00
1995 20.50
1996 19.90
1997 19.10
1998 18.30
1999 17.50
2000 17.00
2001 16.50
2002 16.20
2003 15.70
2004 15.10
2005 14.40
2006 13.50
2007 12.60
2008 11.80
2009 11.20
2010 10.70
2011 10.30
2012 10.00
2013 9.70
2014 9.30
2015 8.90
2016 8.40
2017 7.80
2018 7.30
2019 6.70
2020 6.20

Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac

Classification

Topic: Health Indicators

Sub-Topic: Mortality